activity
20172022
most citedInfluence of Color Spaces for Deep Learning Image Colorization

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Photorealistic Facial Wrinkles Removal

Marcelo Sanchez, Gil Triginer, Coloma Ballester +2

Editing and retouching facial attributes is a complex task that usually requires human artists to obtain photo-realistic results. Its applications are numerous and can be found in…

cs.CV2022

Analysis of Different Losses for Deep Learning Image Colorization

Coloma Ballester, Aurélie Bugeau, Hernan Carrillo +4

Image colorization aims to add color information to a grayscale image in a realistic way. Recent methods mostly rely on deep learning strategies. While learning to automatically co…

cs.CV20221 cited

Influence of Color Spaces for Deep Learning Image Colorization

Coloma Ballester, Aurélie Bugeau, Hernan Carrillo +4

Colorization is a process that converts a grayscale image into a color one that looks as natural as possible. Over the years this task has received a lot of attention. Existing col…

cs.CV2019

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

Patricia Vitoria, Lara Raad, Coloma Ballester

The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, we propose an adversarial learning colorization approach coupled with…

cs.CV2017

A survey of exemplar-based texture synthesis

Lara Raad, Axel Davy, Agnès Desolneux +1

Exemplar-based texture synthesis is the process of generating, from an input sample, new texture images of arbitrary size and which are perceptually equivalent to the sample. The t…